Skip to content

Update daas_guide.md#294

Open
linnem wants to merge 8 commits into
Lumi-supercomputer:productionfrom
linnem:patch-1
Open

Update daas_guide.md#294
linnem wants to merge 8 commits into
Lumi-supercomputer:productionfrom
linnem:patch-1

Conversation

@linnem
Copy link
Copy Markdown

@linnem linnem commented May 13, 2026

Updated the structure and added needed user support email links as well as a link to our new data catalog. Deleted information that was outdated.

Updated the structure and added needed user support email links as well as a link to our new data catalog. Deleted information that was outdated.
@marlon-tobaben
Copy link
Copy Markdown
Member

I'll have a look at this on Friday or early next week.

Copy link
Copy Markdown
Member

@marlon-tobaben marlon-tobaben left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I think this looks much better than the previous version, but I still have some suggestions and requested changes.

I directly committed some changes to your branch:

  • fixed formatting problem with the bullet list under "other useful information"
  • changed all links within LUMI docs to be relative instead of absolute links so that we get a notification if they are broken
  • moved all links to variables at the top so that they can be changed in one place even if used throughout the guide.

I have some suggestions / requested changes (see also the comments in the md file itself, but I'll list all of them here as well). Please let me know what you think, preferably by replying here in GitHub.

Comment on lines +26 to +28
LUMI AIF DaaS is currently a Minimum Viable Product (MVP). MVP is the
simplest version of a product that includes only the core features necessary
to deliver value to early users and validate the product concept. The goal of
an MVP is to test assumptions quickly and with minimal resources, to gather
user feedback, and to use that feedback to guide further development.
to deliver value to early users and validate the product concept. LUMI AIF DaaS is built upon existing services and as such the user experience and available features are already quite advanced for an MVP.
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.


LUMI's [data storage options are detailed in the user guide][data storage].

## Sharing your dataset to LUMI AI Factory Dataset as a Service
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
## Sharing your dataset to LUMI AI Factory Dataset as a Service
## Sharing your dataset

Remove "to LUMI AI Factory Dataset as a Service" here as it is clear from context.

The Dataset-as-a-Service (DaaS) datasets can be accessed and utilized
free-of-charge, but to access the LUMI supercomputer and to run jobs with LUMI
The LUMI AI Factory Dataset as a Service datasets can be accessed and utilized
free-of-charge. To access the LUMI supercomputer and to run jobs with LUMI
using the DaaS datasets, you need to be a member of a project that has been
granted resources on LUMI.
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
granted resources on LUMI.
granted resources on LUMI. For startups and SME's, the easiest way to get started in using LUMI is by using one of [the computing packages of LUMI AI Factory][LAIF computing packages].

Move this here from below.


LUMI's [data storage options are detailed in the user guide][data storage].

## Sharing your dataset to LUMI AI Factory Dataset as a Service
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
## Sharing your dataset to LUMI AI Factory Dataset as a Service
## Sharing your dataset

Clear from context that this is DaaS


LUMI AIF DaaS is not a repository or a preservation service. It does not take away your ownership of data or remove your right to manage access to it. LUMI AIF DaaS facilitates access and findability. Publish your data to increase its impact, discover new use cases, meet compliance requirements, attract collaborators and customers, and participate in cutting‑edge scientific and industrial innovation.

### What is required of a dataset in LUMI AI Factory Dataset as a Service
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
### What is required of a dataset in LUMI AI Factory Dataset as a Service
### What is required of a dataset

Clear from context that this is DaaS

Comment on lines +103 to +125
### Accessing LUMI and using Datasets with HPC Tools

To be able to use the HPC tools on LUMI, you need to be a member of a project
that has been granted resources on LUMI. The LUMI consortium countries have
different policies for accessing LUMI. An overview of the access policies is
provided on the
[LUMI Supercomputer Get Started](https://lumi-supercomputer.eu/get-started/)
page.
[LUMI Supercomputer Get Started][get started]
page. For startups and SME's, the easiest way to get started in using LUMI is by using one of [the computing packages of LUMI AI Factory][LAIF computing packages].

You can use pre-installed software on LUMI, install additional software
yourself or use an Apptainer/Singularity container or the LUMI container
wrapper:
[https://docs.lumi-supercomputer.eu/software/](https://docs.lumi-supercomputer.eu/software/).
wrapper [as detailed in LUMI user guide][software].

Software library:
[https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/](https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/)
Other useful documentation:

Containerized Workflows are developed by the LUMI AI Factory to streamline AI
related tasks in HPC environment:
[https://docs.lumi-supercomputer.eu/software/local/lumi-aif/#containerized-workflows](https://docs.lumi-supercomputer.eu/software/local/lumi-aif/#containerized-workflows)
- [Software library][Software library]

Running jobs on LUMI:
[https://docs.lumi-supercomputer.eu/runjobs/](https://docs.lumi-supercomputer.eu/runjobs/)
- [Containerized Workflows][containerized workflows] are developed by the LUMI AI Factory to streamline AI
related tasks in HPC environment

## Citation
- [AI software environment][AI software environment]

- [Running jobs on LUMI][run jobs]
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I suggest rewriting this a bit:

Suggested change
### Accessing LUMI and using Datasets with HPC Tools
To be able to use the HPC tools on LUMI, you need to be a member of a project
that has been granted resources on LUMI. The LUMI consortium countries have
different policies for accessing LUMI. An overview of the access policies is
provided on the
[LUMI Supercomputer Get Started](https://lumi-supercomputer.eu/get-started/)
page.
[LUMI Supercomputer Get Started][get started]
page. For startups and SME's, the easiest way to get started in using LUMI is by using one of [the computing packages of LUMI AI Factory][LAIF computing packages].
You can use pre-installed software on LUMI, install additional software
yourself or use an Apptainer/Singularity container or the LUMI container
wrapper:
[https://docs.lumi-supercomputer.eu/software/](https://docs.lumi-supercomputer.eu/software/).
wrapper [as detailed in LUMI user guide][software].
Software library:
[https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/](https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/)
Other useful documentation:
Containerized Workflows are developed by the LUMI AI Factory to streamline AI
related tasks in HPC environment:
[https://docs.lumi-supercomputer.eu/software/local/lumi-aif/#containerized-workflows](https://docs.lumi-supercomputer.eu/software/local/lumi-aif/#containerized-workflows)
- [Software library][Software library]
Running jobs on LUMI:
[https://docs.lumi-supercomputer.eu/runjobs/](https://docs.lumi-supercomputer.eu/runjobs/)
- [Containerized Workflows][containerized workflows] are developed by the LUMI AI Factory to streamline AI
related tasks in HPC environment
## Citation
- [AI software environment][AI software environment]
- [Running jobs on LUMI][run jobs]
### Using datasets on LUMI
LUMI docs provides general information on [software on LUMI][software] and [running jobs on LUMI][run jobs]. The [AI software environment][AI software environment] and [Containerized Workflows][containerized workflows] developed by LUMI AI Factory could be especially relevant to AI users on LUMI.

[access LUMI]: ./../../firststeps/accessLUMI.md
[AI software environment]: ./../../laif/software/ai-environment.md
[containerized workflows]: ./../software/workflows.md
[data catalogue]: https://lumi-aif.fairadata.fi
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The data catalogue link doesn't work, please double check.

[containerized workflows]: ./../software/workflows.md
[data catalogue]: https://lumi-aif.fairadata.fi
[data storage]: ./../../storage/index.md
[fairdata guide for adding dataset metadata]: https://www.fairdata.fi/qvaimen-kayttoopas/
Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Replace underscore with hyphen in names of DaaS files to conform to
site style.
@mitjasai
Copy link
Copy Markdown
Collaborator

Committed 9ea49df to fix a previous oversight on my part.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants